Russell-Rose, Tony and MacFarlane, Andrew. 2020. 'Towards Explainability in Professional Search'. In: The 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020). Xi'an, China 30 July 2020. [Conference or Workshop Item]

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Abstract or Description

Professions such as healthcare, law, recruitment and patent search all share an interest in the resolution of complex information needs. This typically involves the formulation of structured search strategies that are expressed as Boolean strings. However, creating effective Boolean queries remains an ongoing challenge, often compromised by a lack of transparency and reproducibility. In this paper we explore some of the shortcomings of current approaches, examine alternative solutions and make recommendations towards improved explainability in professional search.

Item Type:	Conference or Workshop Item (Paper)
Identification Number (DOI):	https://doi.org/10.1145/1234567890
Keywords:	Explainable Search, Professional Search
Related URLs:	https://sigir.org/sigir2020/
Departments, Centres and Research Units:	Computing
Dates:	Date Event 18 June 2020 Accepted 30 July 2020 Published
Event Location:	Xi'an, China
Date range:	30 July 2020
Item ID:	29134
Date Deposited:	06 Aug 2020 11:12
Last Modified:	06 Aug 2020 11:12
URI:	https://research.gold.ac.uk/id/eprint/29134

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